Continual is an advanced AI platform that simplifies the process of creating predictive models on modern data stacks. The platform allows users to effortlessly build predictive models on popular cloud data platforms, such as BigQuery, Snowflake, Redshift, and Databricks.
Unlike other complex engineering or infrastructure platforms, Continual simplifies the process of building and maintaining predictive models through simple SQL or dbt declarations. It also allows teams to share features, which accelerates the model development process.
One of the main benefits of Continual is that the models built on it are continually improving, ensuring predictions are always up-to-date. The platform stores data and models directly on the warehouse, making it easily accessible to operational and BI tools.
Continual is versatile and can be used to predict customer churn, inventory demand, and customer lifetime value, making it an invaluable asset for businesses. The platform is designed for modern data teams who love working with SQL and dbt, but it is also accessible to data scientists who can integrate Python.
Continual's declarative approach to AI makes it easy to work with for analytics and data teams. Whether you're a seasoned data professional or a beginner, Continual can help you build predictive models quickly and efficiently.
